Engineer Data
CARBR9, United States
Full Time Senior-level / Expert Clearance required USD 77K - 165K
Northrop Grumman
Northrop Grumman solves the toughest problems in space, aeronautics, defense and cyberspace to meet the ever evolving needs of our customers worldwide. Our 95,000 employees define possible every day using science, technology and engineering to...Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.Works in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their goal is to make data accessible so that organizations can use it to evaluate and optimize their performance. Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required.
Northrop Grumman Aeronautics Systems has an opening for a Data Engineer or Principal Data Engineer to join our team of qualified, diverse individuals located onsite in either Redondo Beach, CA or Clearfield, UT.
Join our team and build scalable pipelines from the ground up. You will play a key role in designing, developing, and maintaining modern, optimized, and high-performance data solutions in support of programs and functions. There is also an opportunity to sharpen data science, AI, visualization, software development, or project management skills. If you enjoy collaborating with data scientists, analysts, and software engineers to integrate and process data efficiently, we’d love to hear from you!
Accomplish
In this role you will design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines using Python and SQL, while developing and optimizing data storage solutions, and ensure data integrity, security and best practices are followed.
The ideal candidate should have experience in Data Engineering or Data Science.
This position is on-site, but hybrid work will be considered.
Essential Functions:
- Design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines using Python and/or SQL.
- Develop and optimize data storage solutions
- Collaborate with data scientists, analysts, and software engineers to integrate and process data efficiently.
- Ensure data integrity, security, and governance best practices are followed.
- Monitor and improve data processing performance and scalability.
- Write and maintain tests and documentation for data architecture, workflows, and processes.
Succeed
The individual we seek will be self-motivated, proactive, goal-oriented to help us grow our services, become even better at what we do and will possess the following qualifications.
Basic Qualifications Data Engineer:
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 2 years of related engineering experience, OR Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 0 years of related engineering experience
- Excellent communication and organizational skills
- Strong programming skills in Python and SQL
- Proficiency in SQL for relational databases (MSSQL, PostgreSQL, MySQL, or similar).
- Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc).
- The ability to acquire and maintain government Secret clearance or higher, and any program access(es) required for the position within a reasonable period of time, as determined by the company.
Basic Qualifications Principal Data Engineer:
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 5 years of related engineering experience, OR Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field, with 3 years of related engineering experience.
- Recent professional experience in data engineering and/or software development.
- Excellent communication and organizational skills
- Strong programming skills in Python and SQL
- Proficiency in SQL for relational databases (MSSQL, PostgreSQL, MySQL, or similar).
- Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc).
- The ability to acquire and maintain government Secret clearance or higher, and any program access(es) required for the position within a reasonable period of time, as determined by the company.
Preferred Qualifications:
- Active DoD secret clear
- Experience working with customers (internal or external)
- Understanding of manufacturing and quality data in the aerospace industry
- Proficiency in Tableau and PowerBI
- Experience with shop floor execution systems (MES, Solumina, TIPQA, etc.)
- Experience with Sharepoint online, Powerautomate, Powerapps
- Master’s degree in Computer Science, Data Engineering, Data Science, or Software Engineering
- Experience with machine learning pipelines and data science workflows.
- Knowledge of data warehousing concepts and tools.
- Familiarity with SQL Alchemy, Numpy, Pandas
- Hands-on experience with cloud services (AWS, GCP, Azure) for data engineering.
- Ability to troubleshoot and optimize complex data queries and workflows.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Tags: Architecture AWS Azure CI/CD Computer Science Data Warehousing Docker Engineering ETL GCP Git Machine Learning MS SQL MySQL NumPy Pandas Pipelines PostgreSQL Power BI Python RDBMS Security SharePoint SQL Tableau Unstructured data
Perks/benefits: Career development Health care Insurance Salary bonus
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